Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/71956
Title: Design and optimization of self-nanoemulsifying drug delivery systems of clove oil for efficacy enhancement in fish anesthesia
Authors: Kantaporn Kheawfu
Surachai Pikulkaew
Thomas Rades
Anette Müllertz
Louise von Gersdorff Jørgensen
Siriporn Okonogi
Authors: Kantaporn Kheawfu
Surachai Pikulkaew
Thomas Rades
Anette Müllertz
Louise von Gersdorff Jørgensen
Siriporn Okonogi
Keywords: Pharmacology, Toxicology and Pharmaceutics
Issue Date: 1-Feb-2021
Abstract: © 2020 Elsevier B.V. Self-nanoemulsifying drug delivery system (SNEDDS) is an efficient system for delivering water-insoluble compounds. The aim of this study was to develop SNEDDS containing clove oil (C-SNEDDS) to increase clove oil aqueous miscibility and for fish anesthesia. C-SNEDDS was prepared using different lipids and surfactants. An axial extended design was used to select suitable components. The effects of components on dispersing time, droplet size, and size distribution of the dispersed C-SNEDDS were investigated. D-optimal experimental design, multiple linear regression, and partial least squares regression were employed to optimize the formulation variables, X1 (clove oil), X2 (lipid), and X3 (surfactant) for preparing high clove oil loading C-SNEDDS. Clove oil and surfactant showed a significant effect on the droplet size. Spherical droplets could be observed under cryogenic transmission electron microscopy from the small-size dispersed C-SNEDDS. C-SNEDDS using 1:1 ratio of Captex-Capmul and Kolliphor EL showed high clove oil loading of 35–36%. The droplet size demonstrated a high impact on the induction time to anesthesia but not on the recovery time. The dispersed C-SNEDDS with an average droplet size of 58.2 ± 0.9 nm significantly showed a fast induction time of approximately 2.5 min, 2-fold significantly faster than MS-222.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097464747&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/71956
ISSN: 17732247
Appears in Collections:CMUL: Journal Articles

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